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AdipoCount: A New Software for Automatic Adipocyte Counting

Obesity has spread worldwide and become a common health problem in modern society. One typical feature of obesity is the excessive accumulation of fat in adipocytes, which occurs through the following two physiological phenomena: hyperplasia (increase in quantity) and hypertrophy (increase in size)...

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Detalles Bibliográficos
Autores principales: Zhi, Xuhao, Wang, Jiqiu, Lu, Peng, Jia, Jue, Shen, Hong-Bin, Ning, Guang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5826178/
https://www.ncbi.nlm.nih.gov/pubmed/29515452
http://dx.doi.org/10.3389/fphys.2018.00085
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author Zhi, Xuhao
Wang, Jiqiu
Lu, Peng
Jia, Jue
Shen, Hong-Bin
Ning, Guang
author_facet Zhi, Xuhao
Wang, Jiqiu
Lu, Peng
Jia, Jue
Shen, Hong-Bin
Ning, Guang
author_sort Zhi, Xuhao
collection PubMed
description Obesity has spread worldwide and become a common health problem in modern society. One typical feature of obesity is the excessive accumulation of fat in adipocytes, which occurs through the following two physiological phenomena: hyperplasia (increase in quantity) and hypertrophy (increase in size) of adipocytes. In clinical and scientific research, the accurate quantification of the number and diameter of adipocytes is necessary for assessing obesity. In this study, we present a new automatic adipocyte counting system, AdipoCount, which is based on image processing algorithms. Comparing with other existing adipocyte counting tools, AdipoCount is more accurate and supports further manual correction. AdipoCount counts adipose cells by the following three-step process: (1) It detects the image edges, which are used to segment the membrane of adipose cells; (2) It uses a watershed-based algorithm to re-segment the missing dyed membrane; and (3) It applies a domain connectivity analysis to count the cells. The outputs of this system are the labels and the statistical data of all adipose cells in the image. The AdipoCount software is freely available for academic use at: http://www.csbio.sjtu.edu.cn/bioinf/AdipoCount/.
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spelling pubmed-58261782018-03-07 AdipoCount: A New Software for Automatic Adipocyte Counting Zhi, Xuhao Wang, Jiqiu Lu, Peng Jia, Jue Shen, Hong-Bin Ning, Guang Front Physiol Physiology Obesity has spread worldwide and become a common health problem in modern society. One typical feature of obesity is the excessive accumulation of fat in adipocytes, which occurs through the following two physiological phenomena: hyperplasia (increase in quantity) and hypertrophy (increase in size) of adipocytes. In clinical and scientific research, the accurate quantification of the number and diameter of adipocytes is necessary for assessing obesity. In this study, we present a new automatic adipocyte counting system, AdipoCount, which is based on image processing algorithms. Comparing with other existing adipocyte counting tools, AdipoCount is more accurate and supports further manual correction. AdipoCount counts adipose cells by the following three-step process: (1) It detects the image edges, which are used to segment the membrane of adipose cells; (2) It uses a watershed-based algorithm to re-segment the missing dyed membrane; and (3) It applies a domain connectivity analysis to count the cells. The outputs of this system are the labels and the statistical data of all adipose cells in the image. The AdipoCount software is freely available for academic use at: http://www.csbio.sjtu.edu.cn/bioinf/AdipoCount/. Frontiers Media S.A. 2018-02-20 /pmc/articles/PMC5826178/ /pubmed/29515452 http://dx.doi.org/10.3389/fphys.2018.00085 Text en Copyright © 2018 Zhi, Wang, Lu, Jia, Shen and Ning. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Zhi, Xuhao
Wang, Jiqiu
Lu, Peng
Jia, Jue
Shen, Hong-Bin
Ning, Guang
AdipoCount: A New Software for Automatic Adipocyte Counting
title AdipoCount: A New Software for Automatic Adipocyte Counting
title_full AdipoCount: A New Software for Automatic Adipocyte Counting
title_fullStr AdipoCount: A New Software for Automatic Adipocyte Counting
title_full_unstemmed AdipoCount: A New Software for Automatic Adipocyte Counting
title_short AdipoCount: A New Software for Automatic Adipocyte Counting
title_sort adipocount: a new software for automatic adipocyte counting
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5826178/
https://www.ncbi.nlm.nih.gov/pubmed/29515452
http://dx.doi.org/10.3389/fphys.2018.00085
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